Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11670
Title: Adaptive Neuro-Fuzzy Inference System Based Control of Robotic Manipulators
Authors: Adhyaru, D. M.
Patel, Jimit
Gianchandani, Rishi
Keywords: Neural Network
Fuzzy Logic
Robot Conroller
IC Faculty Paper
Faculty Paper
ITFIC002
Issue Date: 10-Sep-2010
Publisher: IEEE
Citation: International Conference on Mechanical and Electrical Technology-2010, (ICMET 2010), Singapore, Page No. 353-358
Series/Report no.: ITFIC002-5
Abstract: Robot manipulators have become increasingly important in the field of flexible automation. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.
URI: http://10.1.7.192:80/jspui/handle/123456789/11670
ISBN: 978-1-4244-8100-2
Appears in Collections:Faculty Papers, E&I

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